Creative Frameworks for Problem-Solving with Generative AI
December 17, 2025
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: This live-streamed podcast episode features host Jordan Wilson interviewing executive Leslie Grandy on leveraging AI as a creative thought partner rather than a quick-answer tool, fostering innovative problem-solving in business and careers. Educational and enthusiastic.
- The Format: An interview.
- The Key Players:
- Guest: Leslie Grandy, lead executive in residence at University of Washington's executive education program, with 25 years in tech product management at Apple, Amazon, and T-Mobile, plus a film industry background; author of Creative Velocity, focusing on building creative confidence using AI.
🗝️ Key Themes & Topics
The episode explores using large language models (LLMs) beyond efficiency for creative agency, structured frameworks to enhance human-AI collaboration, and overcoming cognitive biases in problem-solving.
- Topic 1: AI as Thought Partner vs. Quick Output Tool – Host and guest emphasize treating LLMs like collaborators to augment human intelligence, warning against outsourcing thinking for speed, which often skips comprehensive analysis; share aha moments like AI failing an insight puzzle by ignoring facts.
- Topic 2: Maintaining Human Agency in Prompt/Context Engineering – Discussion on shifting from narrow Q&A prompts to open-ended, abstract queries; humans provide dive
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What you'll learn
- 1 `(00:00)` **🎙️ Introduction: Leslie Grandy**
- 2 `(01:14)` **Using LLMs as Thought Partners, Not Just Quick Answers**
- 3 `(02:43)` **Leslie's Background and Motivation for AI in Creativity**
- 4 `(03:44)` **Leslie's Initial Aha Moments with LLMs**
- 5 `(05:57)` **Preserving Human Agency Amid Advanced LLMs**
- 6 `(07:44)` **Prompt/Context Engineering for Expansive Thinking**
- 7 `(11:20)` **Human-in-the-Loop: Divergent Thinking and Output Agency**
+ Full timestamped outline available in the app
Show Notes
Don't lie -- when you open ChatGPT, you're looking for a quick copy-and-paste solution.
We've all been there.
What if I told you that was kinda the worst way possible to use some of the world's most powerful technology.
Spoiler alert: it kinda is.
Make sure to catch today's episode for some creative frameworks to change how you use LLMs.
Creative Frameworks for Problem-Solving with Generative AI -- An Everyday AI Chat with Jordan Wilson
(PS - Was hoping to have the PT. 2 Roadmap review ready to go, but feeling under the weather. Pt 2 will drop soon!)
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Topics Covered in This Episode:
- Creative Frameworks for Generative AI Problem Solving
- Human Agency vs. AI Efficiency Debate
- Using Large Language Models as Thought Partners
- Prompt Engineering vs. Context Engineering Evolution
- Generic Parts Technique for Abstract Thinking
- SCAMPER Framework for Business Innovation
- Human-AI Collaboration: Enhancing Creative Outputs
- Overcoming Cognitive Biases in AI-Assisted Strategy
Timestamps:
00:00 "Using AI as Thought Partner"
04:06 "AI's Role in Creative Problem-Solving"
08:13 "Broadening Problem-Solving Approaches"
13:11 "Using Multiple Tools for Insight"
15:07 "SCAMPER Framework Explained"
17:32 "Rethinking Problems with SCAMPER"
22:24 "Embracing Difference in Expertise"
24:45 "Building Creative Confidence"
Keywords:
Generative AI, problem solving frameworks, creative frameworks, large language models, AI thought partner, augmenting human intelligence, creative problem solving, prompt engineering, context engineering, agency over output, human-AI partnership, divergent thinking, convergent thinking, psychological distance, cognitive bias,
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